Changelog – Release 2026.06¶

With Release 2026.06, digna takes a major step forward in automation, extensibility, and platform usability.
This release introduces the new digna Python SDK, official Docker deployment support, a refreshed dashboard experience, and enhanced portability for validation rule management.

🚀 New Features¶

digna Python SDK – Automate Everything with Python¶

• Install via:

  pip install digna-sdk
  

• Programmatically manage and automate digna using Python
• Create and configure projects via code
• Trigger inspections and monitoring executions
• Manage datasets, rules, and configurations programmatically
• Profile tables and extract metadata insights
• Export profiling and data quality results to external repositories and systems
• Integrate with notebooks, orchestration tools, and CI/CD pipelines

Impact: Enables full infrastructure-as-code and deep automation of data quality and observability workflows using Python.

Docker Support – Simplified Deployment & Operations¶

• Official Docker image support for digna
• Fast and consistent setup across environments
• Simplified onboarding for development, test, and production
• Easy integration with Kubernetes and container platforms
• Improved portability and reproducibility of deployments

Impact: Makes digna easier to deploy and operate in modern cloud-native architectures.

Redesigned Dashboard Experience¶

• Modernized and improved UI/UX design
• Clearer navigation and structure
• Better visibility of monitoring results and data quality insights
• Improved readability of alerts, statistics, and dashboards
• Faster access to key operational information

Impact: Improves usability and daily productivity for all users.

Extended Import & Export for Validation Rules¶

• Enhanced import/export functionality for validation rules
• Easier migration between environments and projects
• Improved reuse of standardized rule sets
• Better governance and rule lifecycle management
• Simplified collaboration across teams

Impact: Enables scalable and consistent data quality governance across the organization.

🧪 Platform Enhancements¶

• Full Python SDK integration for automation
• Containerized deployment via Docker
• Improved UX through redesigned dashboard
• Expanded portability of validation logic

🎯 Who Benefits from This Release¶

• Data Engineers: automation, SDK usage, pipeline integration
• Platform Teams: simplified deployment via Docker
• Data Governance Teams: reusable validation rule management
• Analytics Teams: improved usability and insights visibility

🛠 CLI Updates¶

• Added SDK integration support
• Improved import/export workflows
• General stability and performance improvements